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專業(yè):計(jì)算機(jī)科學(xué)
項(xiàng)目類型:國外小組科研
開始時(shí)間:2024年11月09日
是否可加論文:是
項(xiàng)目周期:4周在線小組科研學(xué)習(xí)+2周不限時(shí)論文指導(dǎo)學(xué)習(xí)
語言:英文
有無剩余名額:名額充足
建議學(xué)生年級(jí):大學(xué)生 高中生
是否必需面試:否
適合專業(yè):計(jì)算機(jī)科學(xué)機(jī)器學(xué)習(xí)計(jì)算機(jī)工程數(shù)據(jù)科學(xué)數(shù)據(jù)分析深度學(xué)習(xí)人工智能
地點(diǎn):無
建議選修:數(shù)據(jù)結(jié)構(gòu)與算法設(shè)計(jì)
建議具備的基礎(chǔ):數(shù)據(jù)科學(xué)、計(jì)算機(jī)科學(xué)、數(shù)據(jù)可視化、數(shù)據(jù)分析、機(jī)器學(xué)習(xí)等專業(yè)或希望修讀相關(guān)專業(yè)的學(xué)生,對(duì)Python在數(shù)據(jù)可視化中的應(yīng)用感興趣的學(xué)生; 學(xué)生需要具備統(tǒng)計(jì)及矩陣運(yùn)算基礎(chǔ),有Python編程經(jīng)驗(yàn)的申請(qǐng)者優(yōu)先;
產(chǎn)出:4周在線小組科研學(xué)習(xí)+2周不限時(shí)論文指導(dǎo)學(xué)習(xí) 共125課時(shí) 項(xiàng)目報(bào)告 優(yōu)秀學(xué)員獲主導(dǎo)師Reference Letter EI/CPCI/Scopus/ProQuest/Crossref/EBSCO或同等級(jí)別索引國際會(huì)議全文投遞與發(fā)表指導(dǎo)(可用于申請(qǐng)) 結(jié)業(yè)證書 成績單
項(xiàng)目背景:隨著全球化及數(shù)字化,Data行業(yè)的薪資水漲船高。世界最大的招聘搜索引擎indeed統(tǒng)計(jì)了2021年25個(gè)最高薪職位排名,Data Scientist赫然在榜。而在大數(shù)據(jù)迅猛發(fā)展的國內(nèi),各個(gè)行業(yè)無一不在Data崗花大手筆招人。根據(jù)全球招聘公司Hays的數(shù)據(jù),2020年中國Data Scientist職位的年薪,甚至可以超過日本和新加坡。即使是屬于Data入門級(jí)的Data Analyst這一職位,字節(jié)跳動(dòng)、Thoughtworks的平均月薪就高達(dá)3.6萬元人民幣。根據(jù)全球著名的咨詢公司麥肯錫最新報(bào)告表明:“在未來的2-3年間,僅美國商業(yè)分析師的人才缺口就高達(dá)10萬之多。 With globalization and digitization, salaries in the data industry have risen. Indeed, the world's largest job search engine has ranked the 25 highest-paying jobs in 2021, and Data Scientist is on the list. In China, where big data is developing rapidly, every industry is spending a lot of money on recruiting people for job roles in data science. According to the global recruitment firm Hays, the annual salary of a Data Scientist in China in 2020 can even surpass that of Japan and Singapore. Even for the entry-level Data Analyst, the average monthly salary of ByteDance and Thoughtworks is as high as 36,000 yuan. According to the latest report from the world-renowned consulting firm McKinsey & Company: 'In the next 2 to 3 years, the talent gap of business analysts in the United States alone will be as high as 100,000.
項(xiàng)目介紹:項(xiàng)目內(nèi)容包括Python編程與數(shù)據(jù)可視化、Python 可視化程序庫Matplotlib、Numpy框架、數(shù)據(jù)獲取、數(shù)據(jù)檢索、數(shù)據(jù)探索、數(shù)據(jù)可視化分析、數(shù)據(jù)可視化框架Tableau等。學(xué)生將通過項(xiàng)目,在項(xiàng)目結(jié)束時(shí),自選Python框架,開發(fā)數(shù)據(jù)可視化應(yīng)用,提交個(gè)性化研究課題項(xiàng)目報(bào)告,進(jìn)行成果展示。The course covers various visualization techniques for big data using Python combined with machine learning and data retrieval and storage techniques. The course will also cover database techniques to store the data.
個(gè)性化研究課題參考 Suggested Future Research Area:
利用機(jī)器學(xué)習(xí)摸擬全球交通數(shù)據(jù)及其新冠傳播影響 Global traffic data and its impact on the spread of diseases
金融時(shí)間序列數(shù)據(jù)可視化分析 Financial data and correlations to make portfolio forecasts
人口增長速度與房價(jià)上漲速率相關(guān)性分析 Correlation between house pricing and population growth and comparison of different countries
項(xiàng)目大綱:Python編程與數(shù)據(jù)可視化:Python中的基礎(chǔ)語法與邏輯 Data Visualization with Python:Introduction to Python Programming Python編程與數(shù)據(jù)可視化:Pandas、Matplotlib等常用包 Data Visualization with Python: Pandas, Matplotlib,Foliom and other visualization frameworks 機(jī)器學(xué)習(xí)與數(shù)據(jù)分析:Machine Learning in Python 網(wǎng)絡(luò)爬蟲、數(shù)據(jù)抓取及存儲(chǔ)技術(shù) Data retrieval and storage techniques 學(xué)術(shù)研討1:教授與各組學(xué)生探討并評(píng)估個(gè)性化研究課題可行性,幫助學(xué)生明晰后續(xù)科研思路 Final Project Preparation Session I 學(xué)術(shù)研討2:學(xué)生將在本周課前完成程序設(shè)計(jì)原型(prototype)及偽代碼(Pseudocode),教授將根據(jù)各組進(jìn)度進(jìn)行個(gè)性化指導(dǎo),確保學(xué)生優(yōu)質(zhì)的終期課題產(chǎn)出 Final Project Preparation Session II 項(xiàng)目成果展示 Final Presentation 論文輔導(dǎo) Project Deliverables Tutoring